Evaluation Of Comparative Visualization

Evaluation of Comparative Visualization is a scholarly methodology that systematically assesses the effectiveness, efficiency, and usability of comparative visualization techniques in enabling accurate and insightful analytical reasoning across different datasets, conditions, or visualization designs.

28

Publications

1.2K

Citations

81

Authors

47

Institutions

Publications per year

2017–2026

11

Authors

81

  1. SF
    Steven Franconeri

    Northwestern University, United States

    3 publications · 340 citations

    3

    h-index

  2. NE
    Niklas Elmqvist

    University of Maryland, College Park, United States

    2 publications · 121 citations

    2

    h-index

  3. MC
    Min Chen

    Huazhong University of Science and Technology, China

    2 publications · 58 citations

    2

    h-index

  4. NJ
    Nicole Jardine

    University of Maryland, College Park, United States

    2 publications · 121 citations

    2

    h-index

  5. HZ
    Hua‐Lin Zhou

    Institute of Genetics and Developmental Biology, China

    2 publications · 58 citations

    2

    h-index

1–5 of 81

Venues

  1. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 6 publications · 595 citations

    6

    h-index

  2. Computer Graphics Forum

    2 publications · 44 citations

    2

    h-index

  3. The Visual Computer

    2 publications · 31 citations

    2

    h-index

  4. Scientometrics

    1 publications · 58 citations

    1

    h-index

  5. IEEE Visualization

    Conference · 1 publications · 38 citations

    1

    h-index

1–5